description“>OverviewMicrosoft Teams is the hub for modern collaboration-bringing together everything teams need to succeed, all within the Microsoft 365 ecosystem. It serves as the canvas that unifies your content, tools, people, and conversations in one seamless experience. As one of Microsoft’s most dynamic and impactful products, Teams is redefining the future of teamwork-and we’re just getting started.Join us on this journey as we push the boundaries of what’s possible with Generative AI, Large Language Models (LLMs), and a world-class AI stack powering Teams Copilot and other cutting-edge AI experiences. You’ll be part of a team at the forefront of AI innovation, leveraging the latest in machine learning, deep learning, and natural language processing to shape the future of work.Within the Messaging Services and AI teams, we’re evolving our machine learning platform to deliver intelligent, context-aware features while ensuring high performance, scalability, and efficiency. We’re looking for an experienced Senior Machine Learning Engineer to design, build, and optimize ML systems that power next-generation AI capabilities in Teams. This is a unique opportunity to work on large-scale applied AI, model deployment, and production-grade ML pipelines-all while collaborating with researchers and engineers across Microsoft.Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. ResponsibilitiesDesign, develop, and deploy scalable machine learning models that enhance core collaboration and messaging experiences in Microsoft Teams.Apply advanced techniques in deep learning, natural language processing, and generative AI to improve user experience and enable intelligent features.Build and optimize ML pipelines for model training, evaluation, and deployment using Azure Machine Learning and other cloud-based services.Prototype, experiment, and evaluate new ideas to deliver next-generation AI-powered features that redefine how teams communicate and collaborate.Partner with research teams to bring cutting-edge ML innovations into production environments.Collaborate with product engineering teams to integrate ML models into large-scale distributed systems, ensuring reliability and performance.Establish best practices, frameworks, and reusable components for large-scale ML development across Microsoft and uphold the highest standards of availability, reliability, and scalability in ML systems-never compromising on engineering fundamentals.
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